{ "cells": [ { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import plotly.express as px\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "from fbprophet import Prophet" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
| \n", " | Date | \n", "Country | \n", "Confirmed | \n", "Recovered | \n", "Deaths | \n", "
|---|---|---|---|---|---|
| 33 | \n", "2020-02-24 | \n", "Afghanistan | \n", "1 | \n", "0 | \n", "0 | \n", "
| 34 | \n", "2020-02-25 | \n", "Afghanistan | \n", "1 | \n", "0 | \n", "0 | \n", "
| 35 | \n", "2020-02-26 | \n", "Afghanistan | \n", "1 | \n", "0 | \n", "0 | \n", "
| 36 | \n", "2020-02-27 | \n", "Afghanistan | \n", "1 | \n", "0 | \n", "0 | \n", "
| 37 | \n", "2020-02-28 | \n", "Afghanistan | \n", "1 | \n", "0 | \n", "0 | \n", "